Medical image segmentation method and apparatus, computer device, and storage medium

Abstract

This application relates to a medical image segmentation method, a computer device, and a storage medium. The method includes: obtaining medical image data; obtaining a target object and weakly supervised annotation information of the target object in the medical image data; determining a pseudo segmentation mask for the target object in the medical image data according to the weakly supervised annotation information; and performing mapping on the medical image data by using a preset mapping model based on the pseudo segmentation mask, to obtain a target segmentation result for the target object. Because the medical image data is segmented based on the weakly supervised annotation information, there is no need to annotate information by using much labor during training of the preset mapping model, thereby saving labor costs. The preset mapping model is a model used for mapping the medical image data based on the pseudo segmentation mask.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation application of PCT Patent Application No. PCT / CN2020 / 074631, entitled “MEDICAL IMAGE SEGMENTATION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM” filed on Feb. 10, 2020, which claims priority to Chinese Patent Application No. 201910126219.9, entitled “MEDICAL IMAGE SEGMENTATION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM”, filed on Feb. 20, 2019, all of which are incorporated herein by reference in their entirety.FIELD OF THE TECHNOLOGY[0002]This application relates to the field of medical image processing, and in particular, to a medical image segmentation method and apparatus, a computer device, and a storage medium.BACKGROUND OF THE DISCLOSURE[0003]A medical image refers to an image of internal tissue of a human body or a part of the human body obtained in a non-invasive manner for medical treatment or medical research. Medical image segmentation plays an important role in cli...

AI Technical Summary

Benefits of technology

This patent describes a method and apparatus for medical image segmentation that can reduce labor costs. The method involves obtaining medical image data, a target object, and weakly supervised annotation information. The method then determines a pseudo segmentation mask for the target object and performs mapping based on the mask, the image data, and a preset mapping model to obtain a final segmentation result for the target object. This approach eliminates the need for manual annotation, reducing labor requirements. The technical effect of this patent is to provide a more efficient and cost-effective solution for medical image segmentation.

Problems solved by technology

In a medical image segmentation method in the related technology, a pixel / voxel-level annotation needs to be used when a mapping model is trained, which is time-consuming and labor-consuming and requires strong support of doctors, and it is very difficult to obtain a large number of high-quality annotations.

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